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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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the interdisciplinary group. Together, we aim to push the boundaries of digital building technology and material science! Responsibilities Your overall focus will be to conduct experiments on exploring the evolution
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Job Description If you are excited by the challenge of understanding extinction through cutting-edge computational approaches, this postdoc offers a unique opportunity. You will help develop a
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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, especially since SOECs contain brittle materials and interfaces. Mechanical robustness and stability are essential for achieving long-term reliability and enhancing the competitiveness of the technology. At
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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or related fields. Preferably strong interest and foundation in immunology, immune cell assays, or translational research. Preferably experience with computer-guided protein engineering. Experience in human
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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phase change material storage (PCM), and large-scale battery energy storage systems (BESS). The vacancies are offered in the Power and Energy Systems division for a period of 3 years with a focus on